PM10.poly: European countries used in PM10.dat

In spBayes: Univariate and Multivariate Spatial-Temporal Modeling

European countries used in PM10.dat

Description

European countries corresponding to PM10.dat locations and used in Hamm et al. (2015) and Datta et al. (2016). Polygon projection is "+proj=laea +lat_0=52 +lon_0=10 +x_0=4321000 +y_0=3210000 +ellps=GRS80 +units=km +no_defs".

Usage

data(PM10.poly)

Format

List of polygons. See example below to convert to a SpatialPolygons object.

References

Datta A., S. Banerjee, A.O. Finley, N. Hamm, and M. Schaap (2016). Nonseparable dynamic nearest neighbor Gaussian process models for large spatio-temporal data with an application to particulate matter analysis. Annals of Applied Statistics, 10(3), 1286–1316. ISSN 1932-6157. doi:10.1214/16-AOAS931.

Hamm N. A.O. Finley, M. Schaap, A. Stein (2015). A Spatially Varying Coefficient Model for Mapping PM10 Air Quality at the European scale. Atmospheric Environment, 102, 393–405.

Examples

## Not run: 

library(sp)

prj <- "+proj=laea +lat_0=52 +lon_0=10 +x_0=4321000 +y_0=3210000 +ellps=GRS80 +units=km +no_defs"

pm10.poly <- SpatialPolygons(PM10.poly, pO = 1:length(PM10.poly), proj4string=CRS(prj))

## End(Not run)

spBayes documentation built on May 17, 2022, 5:07 p.m.